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Springer Hybrid Intelligent Systems Soft Computing - Springer Studies 915

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Description

This comprehensive academic volume explores cutting-edge developments in fuzzy logic, neural networks and optimization algorithms, with emphasis on their hybrid combinations and practical applications. The book brings together research papers addressing intelligent control, robotics, pattern recognition, medical diagnosis and time series prediction. It features contributions focused on type-1 and type-2 fuzzy logic systems, presenting new concepts and algorithmic approaches that advance the field of soft computing. Ideal for researchers, engineers and academics studying artificial intelligence and computational intelligence methods.

Key Features

Studies in Computational Intelligence series volume 915 from Springer, part of an established academic publication line.

Coverage of type-1 and type-2 fuzzy logic systems with new concepts and algorithms for hybrid intelligent systems.

Applications across intelligent control, robotics, pattern recognition and medical diagnosis using soft computing approaches.

Exploration of neural networks and optimization algorithms combined with fuzzy logic for complex problem-solving.

Collection of peer-reviewed papers addressing time series prediction and optimization of challenging real-world problems.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
07 November 2020
Listed Since
30 July 2020

Barcode

No barcode data available

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